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Debing Zhang
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2020 – today
- 2024
- [j8]Weijia Wu, Yuanqiang Cai, Chunhua Shen, Debing Zhang, Ying Fu, Hong Zhou, Ping Luo:
End-to-End Video Text Spotting with Transformer. Int. J. Comput. Vis. 132(9): 4019-4035 (2024) - [c16]Zhiyuan Fan, Weinong Wang, Xing Wu, Debing Zhang:
SedarEval: Automated Evaluation using Self-Adaptive Rubrics. EMNLP (Findings) 2024: 16916-16930 - [i15]Shiyi Chen, Zeyu Wan, Shiyang Yan, Chun Zhang, Weiyi Zhang, Qiang Li, Debing Zhang, Fasih Ud Din Farrukh:
SLR: Learning Quadruped Locomotion without Privileged Information. CoRR abs/2406.04835 (2024) - [i14]Xin Zheng, Jie Lou, Boxi Cao, Xueru Wen, Yuqiu Ji, Hongyu Lin, Yaojie Lu, Xianpei Han, Debing Zhang, Le Sun:
Critic-CoT: Boosting the reasoning abilities of large language model via Chain-of-thoughts Critic. CoRR abs/2408.16326 (2024) - [i13]Junfeng Tian, Da Zheng, Yang Cheng, Rui Wang, Colin Zhang, Debing Zhang:
Untie the Knots: An Efficient Data Augmentation Strategy for Long-Context Pre-Training in Language Models. CoRR abs/2409.04774 (2024) - [i12]Huimu Yu, Xing Wu, Weidong Yin, Debing Zhang, Songlin Hu:
CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning. CoRR abs/2410.02229 (2024) - [i11]Xueru Wen, Jie Lou, Yaojie Lu, Hongyu Lin, Xing Yu, Xinyu Lu, Ben He, Xianpei Han, Debing Zhang, Le Sun:
Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree? CoRR abs/2410.05584 (2024) - 2023
- [j7]Tao Zhang, Ying Fu, Debing Zhang, Chun Hu:
Deep external and internal learning for noisy compressive sensing. Neurocomputing 531: 61-73 (2023) - [c15]Wentao Zhu, Yufang Huang, Xiufeng Xie, Wenxian Liu, Jincan Deng, Debing Zhang, Zhangyang Wang, Ji Liu:
AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection. CVPR Workshops 2023: 2238-2247 - [c14]Yangyi Huang, Hongwei Yi, Weiyang Liu, Haofan Wang, Boxi Wu, Wenxiao Wang, Binbin Lin, Debing Zhang, Deng Cai:
One-shot Implicit Animatable Avatars with Model-based Priors. ICCV 2023: 8940-8951 - [c13]Yingping Liang, Jiaming Liu, Debing Zhang, Ying Fu:
MPI-Flow: Learning Realistic Optical Flow with Multiplane Images. ICCV 2023: 13811-13822 - [c12]Zichun Wang, Yulun Zhang, Debing Zhang, Ying Fu:
Recurrent Self-Supervised Video Denoising with Denser Receptive Field. ACM Multimedia 2023: 7363-7372 - [i10]Weiyi Zhang, Yushi Guo, Liting Niu, Peijun Li, Chun Zhang, Zeyu Wan, Jiaxiang Yan, Fasih Ud Din Farrukh, Debing Zhang:
LP-SLAM: Language-Perceptive RGB-D SLAM system based on Large Language Model. CoRR abs/2303.10089 (2023) - [i9]Wentao Zhu, Yufang Huang, Xiufeng Xie, Wenxian Liu, Jincan Deng, Debing Zhang, Zhangyang Wang, Ji Liu:
AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection. CoRR abs/2304.06116 (2023) - [i8]Zichun Wang, Yulun Zhang, Debing Zhang, Ying Fu:
Recurrent Self-Supervised Video Denoising with Denser Receptive Field. CoRR abs/2308.03608 (2023) - [i7]Yingping Liang, Jiaming Liu, Debing Zhang, Ying Fu:
MPI-Flow: Learning Realistic Optical Flow with Multiplane Images. CoRR abs/2309.06714 (2023) - 2022
- [j6]Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang:
Joint Camera Spectral Response Selection and Hyperspectral Image Recovery. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 256-272 (2022) - [j5]Weiyi Zhang, Yancao Jiang, Fasih Ud Din Farrukh, Chun Zhang, Debing Zhang, Guangqi Wang:
LORM: a novel reinforcement learning framework for biped gait control. PeerJ Comput. Sci. 8: e927 (2022) - [i6]Weijia Wu, Debing Zhang, Ying Fu, Chunhua Shen, Hong Zhou, Yuanqiang Cai, Ping Luo:
End-to-End Video Text Spotting with Transformer. CoRR abs/2203.10539 (2022) - [i5]Yangyi Huang, Hongwei Yi, Weiyang Liu, Haofan Wang, Boxi Wu, Wenxiao Wang, Binbin Lin, Debing Zhang, Deng Cai:
One-shot Implicit Animatable Avatars with Model-based Priors. CoRR abs/2212.02469 (2022) - 2021
- [c11]Xiang An, Xuhan Zhu, Yuan Gao, Yang Xiao, Yongle Zhao, Ziyong Feng, Lan Wu, Bin Qin, Ming Zhang, Debing Zhang, Ying Fu:
Partial FC: Training 10 Million Identities on a Single Machine. ICCVW 2021: 1445-1449 - [c10]Debing Zhang, Yuanqiang Cai, Sibo Wang, Jiahong Li, Zhuang Li, Yejun Tang, Hong Zhou:
A Bilingual, OpenWorld Video Text Dataset and End-to-end Video Text Spotter with Transformer. NeurIPS Datasets and Benchmarks 2021 - [i4]Jue Wang, Haofan Wang, Jincan Deng, Weijia Wu, Debing Zhang:
EfficientCLIP: Efficient Cross-Modal Pre-training by Ensemble Confident Learning and Language Modeling. CoRR abs/2109.04699 (2021) - [i3]Weijia Wu, Yuanqiang Cai, Debing Zhang, Sibo Wang, Zhuang Li, Jiahong Li, Yejun Tang, Hong Zhou:
A Bilingual, OpenWorld Video Text Dataset and End-to-end Video Text Spotter with Transformer. CoRR abs/2112.04888 (2021) - 2020
- [i2]Di Wu, Qi Tang, Yongle Zhao, Ming Zhang, Ying Fu, Debing Zhang:
EasyQuant: Post-training Quantization via Scale Optimization. CoRR abs/2006.16669 (2020) - [i1]Xiang An, Xuhan Zhu, Yang Xiao, Lan Wu, Ming Zhang, Yuan Gao, Bin Qin, Debing Zhang, Ying Fu:
Partial FC: Training 10 Million Identities on a Single Machine. CoRR abs/2010.05222 (2020)
2010 – 2019
- 2019
- [c9]Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang:
Hyperspectral Image Super-Resolution With Optimized RGB Guidance. CVPR 2019: 11661-11670 - [c8]Jiankang Deng, Jia Guo, Debing Zhang, Yafeng Deng, Xiangju Lu, Song Shi:
Lightweight Face Recognition Challenge. ICCV Workshops 2019: 2638-2646 - 2018
- [c7]Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang:
Joint Camera Spectral Sensitivity Selection and Hyperspectral Image Recovery. ECCV (3) 2018: 812-828 - 2015
- [j4]Yao Hu, Zhongming Jin, Yi Shi, Debing Zhang, Deng Cai, Xiaofei He:
Large scale multi-class classification with truncated nuclear norm regularization. Neurocomputing 148: 310-317 (2015) - [c6]Debing Zhang, Long Wei, Bin Hong, Yao Hu, Deng Cai, Xiaofei He:
Event Recovery by Faster Truncated Nuclear Norm Minimization. IScIDE (2) 2015: 171-180 - 2014
- [j3]Zhongming Jin, Debing Zhang, Yao Hu, Shiding Lin, Deng Cai, Xiaofei He:
Fast and Accurate Hashing Via Iterative Nearest Neighbors Expansion. IEEE Trans. Cybern. 44(11): 2167-2177 (2014) - 2013
- [j2]Yao Hu, Debing Zhang, Jieping Ye, Xuelong Li, Xiaofei He:
Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization. IEEE Trans. Pattern Anal. Mach. Intell. 35(9): 2117-2130 (2013) - [c5]Zhongming Jin, Yao Hu, Yue Lin, Debing Zhang, Shiding Lin, Deng Cai, Xuelong Li:
Complementary Projection Hashing. ICCV 2013: 257-264 - [c4]Debing Zhang, Genmao Yang, Yao Hu, Zhongming Jin, Deng Cai, Xiaofei He:
A Unified Approximate Nearest Neighbor Search Scheme by Combining Data Structure and Hashing. IJCAI 2013: 681-688 - [c3]Yao Hu, Debing Zhang, Zhongming Jin, Deng Cai, Xiaofei He:
Active Learning Based on Local Representation. IJCAI 2013: 1415-1421 - 2012
- [c2]Debing Zhang, Yao Hu, Jieping Ye, Xuelong Li, Xiaofei He:
Matrix completion by Truncated Nuclear Norm Regularization. CVPR 2012: 2192-2199 - [c1]Yao Hu, Debing Zhang, Jun Liu, Jieping Ye, Xiaofei He:
Accelerated singular value thresholding for matrix completion. KDD 2012: 298-306
2000 – 2009
- 2007
- [j1]Hu Bin, Debing Zhang:
Cellular-Automata Based Qualitative Simulation for Nonprofit Group Behavior. J. Artif. Soc. Soc. Simul. 10(1) (2007)
Coauthor Index
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last updated on 2024-11-19 20:47 CET by the dblp team
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